本文主要是介绍SQL语句实现查询并自动创建Missing Index,对大家解决编程问题具有一定的参考价值,需要的程序猿们随着小编来一起学习吧!
SELECT
migs.avg_total_user_cost*(migs.avg_user_impact/ 100.0) *(migs.user_seeks + migs.user_scans) ASimprovement_measure,
'CREATE INDEX[missing_index_' + CONVERT(varchar, mig.index_group_handle) + '_' + CONVERT(varchar, mid.index_handle)
+ '_' + LEFT(PARSENAME(mid.statement, 1), 32) + ']'
+ ' ON ' + mid.statement
+ ' (' + ISNULL(mid.equality_columns,'')
+ CASE WHEN mid.equality_columns IS NOT NULL AND mid.inequality_columnsIS NOT NULL THEN ',' ELSE '' END
+ ISNULL(mid.inequality_columns, '')
+ ')'
+ ISNULL(' INCLUDE (' + mid.included_columns+ ')', '') AScreate_index_statement,
migs.*, mid.database_id, mid.[object_id]
FROM sys.dm_db_missing_index_groups mig
INNER JOIN sys.dm_db_missing_index_group_statsmigs ON migs.group_handle= mig.index_group_handle
INNER JOIN sys.dm_db_missing_index_detailsmid ON mig.index_handle= mid.index_handle
WHERE migs.avg_total_user_cost *(migs.avg_user_impact /100.0) *(migs.user_seeks + migs.user_scans) > 10
ORDER BY migs.avg_total_user_cost* migs.avg_user_impact*(migs.user_seeks + migs.user_scans) DESC
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